Experience

Iktos

• France
• Biotechnology
• 1 - 100 Employee

• Computational chemist intern

  • Feb 2023 - Present

  DESCRIPTION: Peptides represent a promising class of therapeutic molecules. They are of great interest for undruggable targets like protein-protein interactions (PPI) as they can occupy a larger surface of interaction compared to classical small molecules and reach higher specificities. Despite these remarkable properties, most peptides do not present great drug-like properties. Among the main obstacles, their high flexibility decreases their stability and the important number of hydrogen… Show more DESCRIPTION: Peptides represent a promising class of therapeutic molecules. They are of great interest for undruggable targets like protein-protein interactions (PPI) as they can occupy a larger surface of interaction compared to classical small molecules and reach higher specificities. Despite these remarkable properties, most peptides do not present great drug-like properties. Among the main obstacles, their high flexibility decreases their stability and the important number of hydrogen bond donors (because of peptide bonds) tends to make them membrane-impermeable. The aim of the internship is to address these obstacles with 3D conformational study of peptides. To compute relevant 3D descriptors, a large sampling of the peptide conformational landscape is needed. The intern will have to work on advanced sampling methods (either simulations or modeling) and the creation of an automated pipeline. THE ROLE: Study recent literature in the field of peptide conformational sampling Assimilate and improve existing pipeline for peptide structure preparation Run advanced methods of molecular dynamics simulations on peptides (like accelerated MD) Compute relevant 3D descriptors Apply predictive models on 3D descriptors and compare results from a baseline Show less DESCRIPTION: Peptides represent a promising class of therapeutic molecules. They are of great interest for undruggable targets like protein-protein interactions (PPI) as they can occupy a larger surface of interaction compared to classical small molecules and reach higher specificities. Despite these remarkable properties, most peptides do not present great drug-like properties. Among the main obstacles, their high flexibility decreases their stability and the important number of hydrogen… Show more DESCRIPTION: Peptides represent a promising class of therapeutic molecules. They are of great interest for undruggable targets like protein-protein interactions (PPI) as they can occupy a larger surface of interaction compared to classical small molecules and reach higher specificities. Despite these remarkable properties, most peptides do not present great drug-like properties. Among the main obstacles, their high flexibility decreases their stability and the important number of hydrogen bond donors (because of peptide bonds) tends to make them membrane-impermeable. The aim of the internship is to address these obstacles with 3D conformational study of peptides. To compute relevant 3D descriptors, a large sampling of the peptide conformational landscape is needed. The intern will have to work on advanced sampling methods (either simulations or modeling) and the creation of an automated pipeline. THE ROLE: Study recent literature in the field of peptide conformational sampling Assimilate and improve existing pipeline for peptide structure preparation Run advanced methods of molecular dynamics simulations on peptides (like accelerated MD) Compute relevant 3D descriptors Apply predictive models on 3D descriptors and compare results from a baseline Show less



TBI - Toulouse Biotechnology Institute, Bio & Chemical Engineering

• France
• Government Administration
• 1 - 100 Employee

• Computational Biologist intern

  • Mar 2022 - Jul 2022

  Big data analyses with python molecular modelisation (molecular dynamique and 3D modelisation) In vitro experiences Big data analyses with python molecular modelisation (molecular dynamique and 3D modelisation) In vitro experiences



Mômji

• France
• Individual and Family Services
• 100 - 200 Employee

• Babysitter

  • Sep 2020 - Dec 2021



LABORATOIRE CMPLI-BFA

• Ville de Paris, Île-de-France, France

• Computational Chemist intern

  • Apr 2020 - May 2020

  Exploration of the interaction between a ligand and proteine with docking methods Exploration of the interaction between a ligand and proteine with docking methods



Hôpital CHU

• Algérie

• STAGE L3 EN MICROBIOLOGIE

  • Apr 2018 - May 2018